OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7587, kappa: 0.0148, kb_relative_information_score: -1705.1466, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1314.1367, usercpu_time_millis: 892.601, usercpu_time_millis_testing: 42.038, usercpu_time_millis_training: 850.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7717, kappa: 0.0697, kb_relative_information_score: -3418.1156, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1293.2181, usercpu_time_millis: 756.093, usercpu_time_millis_testing: 20.519, usercpu_time_millis_training: 735.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7712, kappa: 0.0673, kb_relative_information_score: -3386.8763, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1292.2547, usercpu_time_millis: 1964.837, usercpu_time_millis_testing: 73.218, usercpu_time_millis_training: 1891.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7688, kappa: 0.0574, kb_relative_information_score: -3572.1155, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1278.0242, usercpu_time_millis: 3095.304, usercpu_time_millis_testing: 112.211, usercpu_time_millis_training: 2983.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7694, kappa: 0.0595, kb_relative_information_score: -3418.7517, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9621, scimark_benchmark: 1285.3514, usercpu_time_millis: 1872.039, usercpu_time_millis_testing: 77.715, usercpu_time_millis_training: 1794.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7584, kappa: 0.0134, kb_relative_information_score: -1741.4198, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8245, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1295.447, usercpu_time_millis: 404.193, usercpu_time_millis_testing: 17.941, usercpu_time_millis_training: 386.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7795, kappa: 0.1105, kb_relative_information_score: -3605.3152, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7752, predictive_accuracy: 0.827, prior_entropy: 0.6541, recall: 0.827, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1292.2702, usercpu_time_millis: 308.878, usercpu_time_millis_testing: 7.092, usercpu_time_millis_training: 301.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: -1850.032, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8315, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1296.8252, usercpu_time_millis: 660.193, usercpu_time_millis_testing: 44.561, usercpu_time_millis_training: 615.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7787, kappa: 0.1026, kb_relative_information_score: -3860.0324, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1279.0436, usercpu_time_millis: 995.971, usercpu_time_millis_testing: 17.988, usercpu_time_millis_training: 977.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7558, kappa: 0.003, kb_relative_information_score: -2055.8404, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8134, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1303.8685, usercpu_time_millis: 625.77, usercpu_time_millis_testing: 47.427, usercpu_time_millis_training: 578.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7721, kappa: 0.0714, kb_relative_information_score: -3522.8057, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1298.7515, usercpu_time_millis: 1864.889, usercpu_time_millis_testing: 54.535, usercpu_time_millis_training: 1810.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -1836.6226, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8235, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1283.1801, usercpu_time_millis: 1639.251, usercpu_time_millis_testing: 105.496, usercpu_time_millis_training: 1533.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.758, kappa: 0.0116, kb_relative_information_score: -1835.0759, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.826, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1293.9545, usercpu_time_millis: 141.971, usercpu_time_millis_testing: 8.806, usercpu_time_millis_training: 133.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.7674, kappa: 0.0513, kb_relative_information_score: -3754.3881, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1285.5439, usercpu_time_millis: 37.591, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 35.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -1860.3458, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8286, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1303.2698, usercpu_time_millis: 83.312, usercpu_time_millis_testing: 4.871, usercpu_time_millis_training: 78.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7579, kappa: 0.0112, kb_relative_information_score: -1765.8803, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8293, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1320.2248, usercpu_time_millis: 660.514, usercpu_time_millis_testing: 36.347, usercpu_time_millis_training: 624.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -1749.0052, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8214, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1285.9183, usercpu_time_millis: 1169.728, usercpu_time_millis_testing: 65.156, usercpu_time_millis_training: 1104.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7704, kappa: 0.064, kb_relative_information_score: -3596.6767, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1301.2763, usercpu_time_millis: 1279.141, usercpu_time_millis_testing: 39.813, usercpu_time_millis_training: 1239.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -1761.9714, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1293.6569, usercpu_time_millis: 1136.403, usercpu_time_millis_testing: 62.468, usercpu_time_millis_training: 1073.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.7736, kappa: 0.1219, kb_relative_information_score: -7653.5266, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7585, predictive_accuracy: 0.7992, prior_entropy: 0.6541, recall: 0.7992, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0691, scimark_benchmark: 1299.3005, usercpu_time_millis: 25.111, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 24.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7717, kappa: 0.0698, kb_relative_information_score: -3460.2007, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1280.205, usercpu_time_millis: 1291.074, usercpu_time_millis_testing: 31.953, usercpu_time_millis_training: 1259.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7582, kappa: 0.0125, kb_relative_information_score: -1756.8623, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8223, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1292.7096, usercpu_time_millis: 723.273, usercpu_time_millis_testing: 39.74, usercpu_time_millis_training: 683.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7754, kappa: 0.086, kb_relative_information_score: -3529.6753, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1298.9038, usercpu_time_millis: 443.955, usercpu_time_millis_testing: 10.304, usercpu_time_millis_training: 433.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7678, kappa: 0.0528, kb_relative_information_score: -2702.321, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9601, scimark_benchmark: 1298.4974, usercpu_time_millis: 451.641, usercpu_time_millis_testing: 23.897, usercpu_time_millis_training: 427.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7573, kappa: 0.0089, kb_relative_information_score: -1902.9028, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8255, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1302.2012, usercpu_time_millis: 545.89, usercpu_time_millis_testing: 40.662, usercpu_time_millis_training: 505.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -1761.7721, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8251, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1298.351, usercpu_time_millis: 765.746, usercpu_time_millis_testing: 44.759, usercpu_time_millis_training: 720.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7739, kappa: 0.0795, kb_relative_information_score: -3572.2975, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7936, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1299.9196, usercpu_time_millis: 3086.859, usercpu_time_millis_testing: 50.003, usercpu_time_millis_training: 3036.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7766, kappa: 0.0916, kb_relative_information_score: -3512.8203, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7924, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1289.2989, usercpu_time_millis: 1472.572, usercpu_time_millis_testing: 23.636, usercpu_time_millis_training: 1448.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -1735.9913, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8211, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1304.1263, usercpu_time_millis: 1004.431, usercpu_time_millis_testing: 50.446, usercpu_time_millis_training: 953.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7785, kappa: 0.1086, kb_relative_information_score: -4947.8843, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7708, predictive_accuracy: 0.8242, prior_entropy: 0.6541, recall: 0.8242, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9983, scimark_benchmark: 1298.3914, usercpu_time_millis: 82.197, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 80.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -1888.4761, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.822, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1318.4796, usercpu_time_millis: 172.944, usercpu_time_millis_testing: 10.168, usercpu_time_millis_training: 162.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.77, kappa: 0.0623, kb_relative_information_score: -3372.7158, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1301.752, usercpu_time_millis: 1252.845, usercpu_time_millis_testing: 47.176, usercpu_time_millis_training: 1205.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7691, kappa: 0.0586, kb_relative_information_score: -3526.9798, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1301.5815, usercpu_time_millis: 625.708, usercpu_time_millis_testing: 23.895, usercpu_time_millis_training: 601.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7749, kappa: 0.0843, kb_relative_information_score: -3409.4942, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1293.2247, usercpu_time_millis: 970.836, usercpu_time_millis_testing: 24.12, usercpu_time_millis_training: 946.716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.7713, kappa: 0.1116, kb_relative_information_score: -7323.7381, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7554, predictive_accuracy: 0.7977, prior_entropy: 0.6541, recall: 0.7977, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.0673, scimark_benchmark: 1298.4358, usercpu_time_millis: 38.395, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 37.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7736, kappa: 0.0782, kb_relative_information_score: -2423.8849, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1301.4789, usercpu_time_millis: 707.175, usercpu_time_millis_testing: 21.26, usercpu_time_millis_training: 685.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7735, kappa: 0.0773, kb_relative_information_score: -3675.8102, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1290.2824, usercpu_time_millis: 1832.588, usercpu_time_millis_testing: 36.121, usercpu_time_millis_training: 1796.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -1788.9421, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8242, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1284.936, usercpu_time_millis: 495.823, usercpu_time_millis_testing: 30.614, usercpu_time_millis_training: 465.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7586, kappa: 0.0141, kb_relative_information_score: -1697.872, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8242, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1299.0147, usercpu_time_millis: 368.329, usercpu_time_millis_testing: 18.117, usercpu_time_millis_training: 350.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7702, kappa: 0.0631, kb_relative_information_score: -3657.209, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1287.2662, usercpu_time_millis: 965.079, usercpu_time_millis_testing: 21.23, usercpu_time_millis_training: 943.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7786, kappa: 0.1018, kb_relative_information_score: -4117.147, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7858, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1276.6492, usercpu_time_millis: 643.733, usercpu_time_millis_testing: 10.076, usercpu_time_millis_training: 633.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7717, kappa: 0.0697, kb_relative_information_score: -3467.7367, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1285.9977, usercpu_time_millis: 2313.72, usercpu_time_millis_testing: 53.161, usercpu_time_millis_training: 2260.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.7764, kappa: 0.0914, kb_relative_information_score: -3727.8706, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1309.8914, usercpu_time_millis: 628.608, usercpu_time_millis_testing: 12.821, usercpu_time_millis_training: 615.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.7777, kappa: 0.0973, kb_relative_information_score: -3959.9861, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7866, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1302.1932, usercpu_time_millis: 927.894, usercpu_time_millis_testing: 15.177, usercpu_time_millis_training: 912.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7591, kappa: 0.0166, kb_relative_information_score: -2049.2748, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8169, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1288.5186, usercpu_time_millis: 33.519, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 31.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7772, kappa: 0.0949, kb_relative_information_score: -4022.5322, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1205.6684, usercpu_time_millis: 3317.329, usercpu_time_millis_testing: 37.837, usercpu_time_millis_training: 3279.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -1732.4278, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8272, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1298.9474, usercpu_time_millis: 949.975, usercpu_time_millis_testing: 50.072, usercpu_time_millis_training: 899.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.7789, kappa: 0.112, kb_relative_information_score: -4131.8044, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.77, predictive_accuracy: 0.823, prior_entropy: 0.6541, recall: 0.823, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9912, scimark_benchmark: 1284.6904, usercpu_time_millis: 2117.567, usercpu_time_millis_testing: 22.693, usercpu_time_millis_training: 2094.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.775, kappa: 0.0842, kb_relative_information_score: -2691.7238, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1303.4852, usercpu_time_millis: 119.654, usercpu_time_millis_testing: 3.751, usercpu_time_millis_training: 115.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7701, kappa: 0.0628, kb_relative_information_score: -3684.8248, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1289.0028, usercpu_time_millis: 494.699, usercpu_time_millis_testing: 14.993, usercpu_time_millis_training: 479.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7696, kappa: 0.0605, kb_relative_information_score: -3788.83, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1297.9299, usercpu_time_millis: 437.143, usercpu_time_millis_testing: 12.407, usercpu_time_millis_training: 424.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -1768.4626, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8271, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1311.625, usercpu_time_millis: 1283.702, usercpu_time_millis_testing: 72.252, usercpu_time_millis_training: 1211.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7677, kappa: 0.0525, kb_relative_information_score: -3403.1382, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1303.8782, usercpu_time_millis: 252.28, usercpu_time_millis_testing: 12.272, usercpu_time_millis_training: 240.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.777, kappa: 0.0939, kb_relative_information_score: -3912.8367, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9709, scimark_benchmark: 1296.7395, usercpu_time_millis: 1273.17, usercpu_time_millis_testing: 21.832, usercpu_time_millis_training: 1251.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.758, kappa: 0.0116, kb_relative_information_score: -1748.3077, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.826, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1288.3911, usercpu_time_millis: 1427.487, usercpu_time_millis_testing: 73.035, usercpu_time_millis_training: 1354.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.772, kappa: 0.0708, kb_relative_information_score: -3368.1251, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9621, scimark_benchmark: 1299.1782, usercpu_time_millis: 1730.151, usercpu_time_millis_testing: 56.978, usercpu_time_millis_training: 1673.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7714, kappa: 0.0685, kb_relative_information_score: -3238.2653, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1302.516, usercpu_time_millis: 1893.384, usercpu_time_millis_testing: 60.242, usercpu_time_millis_training: 1833.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7689, kappa: 0.0576, kb_relative_information_score: -3503.4174, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1310.456, usercpu_time_millis: 108.932, usercpu_time_millis_testing: 5.424, usercpu_time_millis_training: 103.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7779, kappa: 0.0995, kb_relative_information_score: -4339.2358, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1297.5375, usercpu_time_millis: 888.94, usercpu_time_millis_testing: 9.496, usercpu_time_millis_training: 879.444,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7689, kappa: 0.0574, kb_relative_information_score: -3200.3626, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1313.849, usercpu_time_millis: 1591.088, usercpu_time_millis_testing: 78.068, usercpu_time_millis_training: 1513.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7569, kappa: 0.0072, kb_relative_information_score: -1937.7142, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8226, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1299.757, usercpu_time_millis: 434.776, usercpu_time_millis_testing: 28.741, usercpu_time_millis_training: 406.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7577, kappa: 0.0104, kb_relative_information_score: -1805.2337, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8229, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1309.901, usercpu_time_millis: 835.597, usercpu_time_millis_testing: 51.653, usercpu_time_millis_training: 783.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -2059.5254, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8197, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1304.2073, usercpu_time_millis: 242.084, usercpu_time_millis_testing: 16.971, usercpu_time_millis_training: 225.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7565, kappa: 0.0056, kb_relative_information_score: -2154.281, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8267, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1304.1856, usercpu_time_millis: 93.298, usercpu_time_millis_testing: 8.072, usercpu_time_millis_training: 85.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -2030.9214, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9682, scimark_benchmark: 1308.5255, usercpu_time_millis: 292.796, usercpu_time_millis_testing: 25.732, usercpu_time_millis_training: 267.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7685, kappa: 0.0561, kb_relative_information_score: -3502.5293, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1295.9077, usercpu_time_millis: 2187.292, usercpu_time_millis_testing: 89.671, usercpu_time_millis_training: 2097.621,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs